A Family of Finite Mixture Distributions for Modelling Dispersion in Count Data

A Family of Finite Mixture Distributions for Modelling Dispersion in Count Data

This paper considers the construction of a family of discrete distributions with the flexibility to cater for under-, equi- and over-dispersion in count data using a finite mixture model based on standard distributions. We are motivated to introduce this family because its simple finite mixture stru...

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Bibliographic Details
Main Authors: Seng Huat Ong, Shin Zhu Sim, Shuangzhe Liu, Hari M. Srivastava
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Stats
Subjects:
convolution
dispersion
Conway–Maxwell–Poisson
generalized Poisson
inverse trinomial
negative binomial
Online Access:https://www.mdpi.com/2571-905X/6/3/59

Internet

https://www.mdpi.com/2571-905X/6/3/59

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